We present a novel approach to transcranial ultrasound computed tomography that utilizes normalizing flows to improve the speed of imaging and provide Bayesian uncertainty quantification. Our method combines physics-informed ...

Full-waveform inversion (FWI) aims at estimating subsurface physical parameters by minimizing the misfit between simulated data and observations. FWI relies heavily on an accurate initial model and is less robust to ...

A Random Vector Functional Link (RVFL) network is a depth-2 neural network with random inner weights and biases. As only the outer weights of such architectures need to be learned, the learning process boils down to a ...

Having Too Much is the first academic volume devoted to limitarianism: the idea that the use of economic or ecosystem resources should not exceed certain limits. This concept has deep roots in economic and political thought. ...

In this work, we theoretically explore how litter decomposition processes and soil-borne pathogens contribute to negative plant-soil feedbacks, in particular in transient and stable spatial organisation of tropical forest ...

In opposition to studies concerning fossil fuel-based energy systems, the transition literature often overlooks how path-dependence lock-ins affect the renewable energy landscape. Investigating this phenomenon is crucial ...

Jurisprudential accounts of judicial decision-making encompass a conceptual account of how judges decide cases and a normative account of how judges should decide cases. This paper explores the conceptual and normative ...